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Insurance Data Engineer Jobs in Indianapolis, IN

AAA Hoosier Motor Club

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Company provided LTD & Basic Life AD&D Insurance. * Service Anniversary Recognition. * Free AAA ... As a Data Engineer on our Finance & Analytics team, you will build and maintain the cloud data ...

AAA Hoosier Motor Club

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

D Insurance. * Service Anniversary Recognition. * Free AAA Plus Membership. * Generous 401k w/ company match. * Company provided HSA dollars. Position Summary: As a Data Engineer on our Finance amp;

Allied Solutions LLC

Senior Data Engineer

Carmel, IN · On-site

$105K - $143K/yr

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data ... Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company ...

Allied Solutions LLC

Senior Data Engineer

Carmel, IN

$105K - $143K/yr

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data ... Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company ...

Ascendion

Data Center Energy Marshal

Indianapolis, IN · On-site

$170K - $190K/yr

Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI ... insurance] [401(k) retirement plan] [long-term disability insurance] [short term disability ...

Munich Re

Data Scientist

Fishers, IN · On-site +1

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty ... Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ...

Munich Re

Data Scientist

Indianapolis, IN · On-site +1

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty ... Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Indianapolis, IN

Insurance Data Engineer information

See Indianapolis, IN salary details

$42.5K

$124K

$169.7K

How much do insurance data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for insurance data engineer in Indianapolis, IN is $123,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $131,400.00 per year, depending on experience, location, and employer.

What is an insurance data engineer?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an insurance data engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

How does an insurance data engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

What are popular job titles related to Insurance Data Engineer jobs in Indianapolis, IN?

For Insurance Data Engineer jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Indianapolis, IN look for?

The top searched job categories for Insurance Data Engineer jobs in Indianapolis, IN are:

What cities near Indianapolis, IN are hiring for Insurance Data Engineer jobs?

Cities near Indianapolis, IN with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Indianapolis, IN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $123,992 per year, or $59.6 per hour.

Data Engineer

AAA Hoosier Motor Club

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

AAA Hoosier Motor Club rating

5.8

Company rating: 5.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

295th of 311 rated insurance

Job description

ABOUT AAA HOOSIER:
Since its creation in 1902, AAA has become one of North America's largest membership organizations. Today, AAA Hoosier provides roadside assistance, travel services, exclusive member discounts and benefits, and trusted financial and insurance services to nearly 400,000 Hoosiers. To learn more about AAA Hoosier offers, visit www.hoosier.aaa.com.
Here's what's in it for YOU:
  • A company culture that provides training and learning opportunities.
  • A brand that you can be proud to be part of.
  • A culture that will challenge you to be your best.
  • Health / Dental / Vision benefits.
  • Paid Time Off.
  • Paid Holidays.
  • Corporate Incentive Plan
  • Company provided LTD & Basic Life AD&D Insurance.
  • Service Anniversary Recognition.
  • Free AAA Plus Membership.
  • Generous 401k w/ company match.
  • Company provided HSA dollars.

Position Summary:
As a Data Engineer on our Finance & Analytics team, you will build and maintain the cloud data infrastructure that powers reporting and insights across the organization. Working closely with our analysts and reporting directly to the Director of Finance, you will keep our data pipelines reliable, expand our warehouse as new data sources come online, and help shape the structures that turn raw data into trusted analytical outputs.
This is a hands-on, high-ownership role on a small, collaborative team. Successful candidates are technically strong, detail-oriented, and thrive in an environment with a lot of growth and change.
Key Responsibilities:
  • Build, maintain, and expand data pipelines and cloud warehouse infrastructure supporting analytics and reporting.
  • Integrate and onboard data from a variety of platforms and source systems into the warehouse.
  • Maintain and optimize the processing and relational modeling of data within the warehouse to support analytics-ready outputs.
  • Ensure day-to-day data reliability, quality, and availability across the platform.
  • Prepare and support clean, dependable data feeds for reporting in Tableau.
  • Partner with analysts on data discovery, query construction, and support for deeper analyses.
  • Monitor, troubleshoot, and optimize pipeline performance and cost.
  • Collaborate on the design of data structures and emerging AI/knowledge-base capabilities under the direction of the team.
  • Maintain accurate technical documentation for data pipelines, integrations, warehouse structures, and data transformation processes to support knowledge sharing and long-term sustainability.
  • Monitor data pipeline performance and proactively identify, troubleshoot, and resolve data quality, processing, and integration issues.
  • Collaborate with business stakeholders and technical teams to understand data requirements and implement scalable solutions that support reporting and analytics needs.
  • Support the adoption of development best practices including source control, code management, and change tracking for data engineering solutions.

Qualifications/ Education and Experience Requirements:
  • Bachelor's degree in a related field preferred, or equivalent combination of education and experience.
  • Three (3) to five (5) years of experience in data engineering or a related field required.
  • Hands-on experience with cloud data platforms and pipeline tools; experience with Azure (Data Factory, Azure SQL, ADLS) and Databricks preferred.
  • Proficiency in SQL and Python.
  • Experience integrating data from multiple source systems, including relational databases, cloud warehouses, and on-prem systems.
  • Working knowledge of relational and dimensional data modeling.
  • Experience using Git or other source control platforms for managing and maintaining code repositories.
  • Experience integrating and consuming data through APIs and modern application interfaces.
  • Familiarity with collaborative development practices, version control workflows, and deployment processes.
  • Experience documenting technical solutions, data flows, and system integrations.
  • Exposure to Microsoft Fabric, Power BI, or similar modern data and analytics platforms preferred.
  • Effective communication and critical thinking skills.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Exposure to data preparation for BI tools such as Tableau preferred.
  • Exposure to data layers or knowledge bases supporting LLM / AI applications preferred.

Join a team where you can grow your career while building the systems that drive smarter decisions across AAA Hoosier every day.
Connect with AAA Hoosier:
Facebook:
www.facebook.com/aaahoosier
Company Website:
www.hoosier.aaa.com

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